:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Krutský, Martin, Šír, Gustav, Kungurtsev, Vyacheslav, Korpas, Georgios
Format:	Preprint
Published:	2025
Subjects:	Machine Learning Artificial Intelligence
Online Access:	https://arxiv.org/abs/2507.13703
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

"Cause" is Mechanistic Narrative within Scientific Domains: An Ordinary Language Philosophical Critique of "Causal Machine Learning"
by: Kungurtsev, Vyacheslav, et al.
Published: (2025)

Learning Generalized Hamiltonians using fully Symplectic Mappings
by: Choudhary, Harsh, et al.
Published: (2024)

Taming Binarized Neural Networks and Mixed-Integer Programs
by: Aspman, Johannes, et al.
Published: (2023)

Federated Sinkhorn
by: Kulcsar, Jeremy, et al.
Published: (2025)

Revealing Combinatorial Reasoning of GNNs via Graph Concept Bottleneck Layer
by: Niu, Yue, et al.
Published: (2026)

On Efficient Scaling of GNNs via IO-Aware Layers Implementations
by: Fomina, Daria, et al.
Published: (2026)

Mission-Aligned Learning-Informed Control of Autonomous Systems: Formulation and Foundations
by: Kungurtsev, Vyacheslav, et al.
Published: (2025)

A Survey of Multi Agent Reinforcement Learning: Federated Learning and Cooperative and Noncooperative Decentralized Regimes
by: Cheruiyot, Kemboi, et al.
Published: (2025)

Undecidable problems associated with variational quantum algorithms
by: Korpas, Georgios, et al.
Published: (2025)

Group Distributionally Robust Dataset Distillation with Risk Minimization
by: Vahidian, Saeed, et al.
Published: (2024)

A Sugeno Integral View of Binarized Neural Network Inference
by: Baaj, Ismaïl, et al.
Published: (2026)

Probing Neural Combinatorial Optimization Models
by: Zhang, Zhiqin, et al.
Published: (2025)

Graph Q-Learning for Combinatorial Optimization
by: Dax, Victoria M., et al.
Published: (2024)

Towards Diverse Device Heterogeneous Federated Learning via Task Arithmetic Knowledge Integration
by: Morafah, Mahdi, et al.
Published: (2024)

Scalable Discrete Diffusion Samplers: Combinatorial Optimization and Statistical Physics
by: Sanokowski, Sebastian, et al.
Published: (2025)

Geometric Algorithms for Neural Combinatorial Optimization with Constraints
by: Karalias, Nikolaos, et al.
Published: (2025)

Permutation Picture of Graph Combinatorial Optimization Problems
by: Min, Yimeng
Published: (2024)

Combinatorial Optimization with Automated Graph Neural Networks
by: Liu, Yang, et al.
Published: (2024)

On the Expressive Power of GNNs for Boolean Satisfiability
by: Peltonen, Saku, et al.
Published: (2026)

Unsupervised Optimisation of GNNs for Node Clustering
by: Leeney, William, et al.
Published: (2024)

Acceleration Algorithms in GNNs: A Survey
by: Ma, Lu, et al.
Published: (2024)

LBLLM: Lightweight Binarization of Large Language Models via Three-Stage Distillation
by: Song, Siqing, et al.
Published: (2026)

DB-LLM: Accurate Dual-Binarization for Efficient LLMs
by: Chen, Hong, et al.
Published: (2024)

Efficient Certified Reasoning for Binarized Neural Networks
by: Yang, Jiong, et al.
Published: (2025)

Structure As Search: Unsupervised Permutation Learning for Combinatorial Optimization
by: Min, Yimeng, et al.
Published: (2025)

Divide and Learn: Multi-Objective Combinatorial Optimization at Scale
by: Singh, Esha, et al.
Published: (2026)

Decision-focused Graph Neural Networks for Combinatorial Optimization
by: Liu, Yang, et al.
Published: (2024)

Self-Improved Learning for Scalable Neural Combinatorial Optimization
by: Luo, Fu, et al.
Published: (2024)

Deep Sensitivity Analysis for Objective-Oriented Combinatorial Optimization
by: Gireesan, Ganga, et al.
Published: (2024)

Benchmarking Positional Encodings for GNNs and Graph Transformers
by: Grötschla, Florian, et al.
Published: (2024)

Co-Designing Binarized Transformer and Hardware Accelerator for Efficient End-to-End Edge Deployment
by: Ji, Yuhao, et al.
Published: (2024)

A Physics-Inspired Optimizer: Velocity Regularized Adam
by: Vaidhyanathan, Pranav, et al.
Published: (2025)

Adaptive Budget Optimization for Multichannel Advertising Using Combinatorial Bandits
by: Gangopadhyay, Briti, et al.
Published: (2025)

Sequential Stochastic Combinatorial Optimization Using Hierarchal Reinforcement Learning
by: Feng, Xinsong, et al.
Published: (2025)

ASAP: Exploiting the Satisficing Generalization Edge in Neural Combinatorial Optimization
by: Fang, Han, et al.
Published: (2025)

RRNCO: Towards Real-World Routing with Neural Combinatorial Optimization
by: Son, Jiwoo, et al.
Published: (2025)

Combinatorial Optimization with Policy Adaptation using Latent Space Search
by: Chalumeau, Felix, et al.
Published: (2023)

BiSSL: Enhancing the Alignment Between Self-Supervised Pretraining and Downstream Fine-Tuning via Bilevel Optimization
by: Zakarias, Gustav Wagner, et al.
Published: (2024)

Understanding and Improving Laplacian Positional Encodings For Temporal GNNs
by: Galron, Yaniv, et al.
Published: (2025)

Trustworthy GNNs with LLMs: A Systematic Review and Taxonomy
by: Xue, Ruizhan, et al.
Published: (2025)